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Showing 81 - 100 results of 138 for search '((( sources OR source) selection functions ) OR ( sources detection functions ))~', query time: 0.09s Refine Results
  1. 81

    Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

    Published 2024-12-01
    “…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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    Article
  2. 82

    The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

    Published 2024-01-01
    “…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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    Article
  3. 83

    Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

    Published 2012-01-01
    “…We assessed risk of bias from participant selection, methods of measuring health literacy and functional outcomes, missing data, and potential for confounding.…”
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  4. 84

    The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

    Published 2025-05-01
    “…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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  5. 85
  6. 86

    Numerical analysis of spectroscopic studies using supercontinuum generated by noise-like pulses by Christian A. Salcedo-Rodriguez, Eloisa Gallegos-Arellano, Julian M. Estudillo-Ayala, Juan M. Sierra-Hernandez, Jose D. Filoteo-Razo, Maximino R. Tapia-Garcia, Daniel A. Ramos-Gonzalez, Roberto Rojas-Laguna, Juan C. Hernandez-Garcia

    Published 2025-07-01
    “…Simulations were also performed for CH4, showing a visible absorption spectrum, thereby substantiating that these sources powered by NLPs can detect various gases with a high degree of selectivity.…”
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  7. 87
  8. 88

    Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

    Published 2025-05-01
    “…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
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  9. 89

    Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

    Published 2020-07-01
    “…VTE is common and potentially life-threatening in patients admitted to ICU, even in spite of preventive care.The purpose of the review is to justify the necessity of preventive care for venous thromboembolism in ICU patients.From over 300 initially selected sources of literature databases (Scopus, Web of science, RSCI, etc.), 99 sources were chosen including 69 that were published during the last five years (2015-2020). …”
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  10. 90

    Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

    Published 2025-01-01
    “…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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    Article
  11. 91

    High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

    Published 2025-06-01
    “…The target of rapamycin complex 1 (TORC1) is a highly conserved protein complex whose primary function is to link nutrient availability to cell growth in eukaryotes, particularly nitrogen sources. …”
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  12. 92

    A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

    Published 2025-05-01
    “…The construction method of the dataset involves collecting variant character sets from authoritative sources, filtering out duplicates and non-target sets, and selecting representative character by applying prioritization principles. …”
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  13. 93
  14. 94

    MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

    Published 2025-03-01
    “…Datasets for lung cancer, cervical cancer, chronic renal disease, Parkinson's illness, and HCC survival are sourced from the trustworthy UCI repository for experimentation. …”
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  15. 95

    Clustering nuclear receptors in liver regeneration identifies candidate modulators of hepatocyte proliferation and hepatocarcinoma. by Michele Vacca, Simona D'Amore, Giusi Graziano, Andria D'Orazio, Marica Cariello, Vittoria Massafra, Lorena Salvatore, Nicola Martelli, Stefania Murzilli, Giuseppe Lo Sasso, Renato Mariani-Costantini, Antonio Moschetta

    Published 2014-01-01
    “…Twenty-nine NR transcripts were significantly modified in their expression during LR, including fatty acid (peroxisome proliferator-activated receptors, PPARs) and oxysterol (liver X receptors, Lxrs) sensors, circadian masters RevErbα and RevErbβ, glucocorticoid receptor (Gr) and constitutive androxane receptor (Car). In order to detect the NRs that better characterize proliferative status vs. proliferating liver, we used the novel Random Forest (RF) analysis to selected a trio of down-regulated NRs (thyroid receptor alpha, Trα; farsenoid X receptor beta, Fxrβ; Pparδ) as best discriminators of the proliferating status. …”
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  16. 96

    Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

    Published 2025-05-01
    “…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. Phenotypic traits such as mesocotyl length and seedling emergence rate were systematically determined in each variety by setting different mulch depth treatments. …”
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  17. 97

    Genetic diversity in wild species and cultivars of strawberry for the <i>FanAAMT</i> gene controlling fruit flavor volatiles by A. S. Lyzhin, I. V. Luk’yanchuk

    Published 2021-07-01
    “…‘Karmen’, ‘Ostara’, ‘Samson’, ‘Symphony’, ‘Troubadour’ and ‘Vima Tarda’, in which the functional allele of the FanAAMT gene was found. In the remaining studied strawberry genotypes the marker FanAAMT was not detected, which presumably indicates that the FanAAMT gene is absent. cells (R9.4.1).…”
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  18. 98

    Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

    Published 2018-07-01
    “…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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  19. 99

    Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

    Published 2025-06-01
    “…Thus, according to literature sources, the frequency of pathology in patients under 20 years of age reaches 10% in the population and less than 2% in children under 10 years of age. …”
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  20. 100

    Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

    Published 2025-05-01
    “…The method’s optimization was carried out using the Box-Behnken design, whereas the optimized conditions were selected according to the desirability function. Validation of the method was done with the International Council for Harmonization, ICH Q2(R2) Guidelines. …”
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